Papers
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension
Xiao Zhang, Heyan Huang, Zewen Chi et al.
Bridging the Granularity Gap for Acoustic Modeling
Chen Xu, Yuhao Zhang, Chengbo Jiao et al.
Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations
Baikjin Jung, Myungji Lee, Jong-Hyeok Lee et al.
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
Jie He, Simon U, Victor Gutierrez-Basulto et al.
Building a Buzzer-quiz Answering System
Naoya Sugiura, Kosuke Yamada, Ryohei Sasano et al.
Building Accurate Low Latency ASR for Streaming Voice Search in E-commerce
Abhinav Goyal, Nikesh Garera
Building a Corpus for Biomedical Relation Extraction of Species Mentions
Oumaima El Khettari, Solen Quiniou, Samuel Chaffron
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts
Sitong Zhou, Meliha Yetisgen, Mari Ostendorf
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics
Liang Ma, Shuyang Cao, Robert L Logan IV et al.
BUT Systems for IWSLT 2023 Marathi - Hindi Low Resource Speech Translation Task
Santosh Kesiraju, Karel Beneš, Maksim Tikhonov et al.
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models
Jonas Belouadi, Steffen Eger
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora
Svanhvít Lilja Ingólfsdóttir, Petur Ragnarsson, Haukur Jónsson et al.
CAIR-NLP at SemEval-2023 Task 2: A Multi-Objective Joint Learning System for Named Entity Recognition
Sangeeth N, Biswajit Paul, Chandramani Chaudhary
Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning
Kirill Milintsevich, Navneet Agarwal
CAME: Confidence-guided Adaptive Memory Efficient Optimization
Yang Luo, Xiaozhe Ren, Zangwei Zheng et al.
Can ChatGPT Understand Causal Language in Science Claims?
Yuheun Kim, Lu Guo, Bei Yu et al.
Can Cross-Lingual Transferability of Multilingual Transformers Be Activated Without End-Task Data?
Zewen Chi, Heyan Huang, Xian-Ling Mao
Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !
Zecheng Tang, Pinzheng Wang, Keyan Zhou et al.
Can In-context Learners Learn a Reasoning Concept from Demonstrations?
Michal Štefánik, Marek Kadlčík
Can Language Models Be Specific? How?
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong et al.
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk
Jianquan Li, XiangBo Wu, Xiaokang Liu et al.
Can Large Language Models Be an Alternative to Human Evaluations?
Cheng-Han Chiang, Hung-yi Lee
Can Large Language Models Safely Address Patient Questions Following Cataract Surgery?
Mohita Chowdhury, Ernest Lim, Aisling Higham et al.